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2. CONTENTS

3. • The simulation of human intelligence processes by machines,
especially computer systems, is known as artificial intelligence.
Expert systems, natural language processing, speech recognition,
and machine vision are some examples of specific AI applications.
• Artificial intelligence aims to improve learning, reasoning, and
perception through computers.

4. • AI in E-Commerce: Recommendation engines, which help
you interact with your consumers more effectively, are
made possible by artificial intelligence technology.
According to their browsing history, preferences, and
interests, these recommendations are given.
• AI in Education: Artificial intelligence can assist educators
with non-educational tasks like managing enrollment,
courses, and HR-related matters, as well as task-related
responsibilities like facilitating and automating
personalised messages to students, back-office tasks like
grading paperwork, planning and facilitating parent and
guardian interactions, and routine issue feedback
facilitation.
• AI in Agriculture: Defects and nutrient shortages in the
soil are found using artificial intelligence. AI can determine
where weeds are growing by using computer vision,
robotics, and machine learning technologies. AI bots can
harvest crops more quickly and in greater quantities than
human employees.
• AI in Healthcare: Building advanced devices that can
detect diseases and identify cancer cells uses AI
applications. In order to ensure early diagnosis, artificial
intelligence can assist in analysing chronic illnesses with
lab and other medical data. AI employs a combination of
medical knowledge and historical data to find new
medications..

5. This AI has no memory
power and does not
have the ability to learn
from past actions. IBM’s
Deep Blue is in this
category.
With the addition of
memory, this AI uses past
information to make better
decisions. Common
applications like GPS
location apps fall into this
category.
This AI is still being
developed, with the goal of its
having a very deep
understanding of human
minds.
This AI, which could
understand and evoke
human emotions as well
as have its own, is still
only hypothetical.
Artificial intelligence is classified into two main categories: AI that’s based on functionality
and AI that’s based on capabilities.
AI-based on functionality

6. A system that performs
narrowly defined programmed
tasks. This AI has a
combination of reactive and
limited memory. Most of today’s
AI applications are in this
category.
This AI is capable of training,
learning, understanding, and
performing like a human.
This AI performs tasks
better than humans due to
its superior data
processing, memory, and
decision-making abilities.
No real-world examples
exist today.
AI-based on capabilities

7. 1. Programming Languages
2. Neural Network Architecture
3. Signal Processing Techniques
4. Machine Learning
5. Deep Learning
6. Cluster Analysis
7. Big Data and Distributed Computing